Providers and ModelsMeta AI

Muse Glimmer 30B

Muse Glimmer 30B
Meta AI · Text Generation
POST /v1/chat/completions

Meta open 30B agentic model with image understanding, 128K context, tool calling, structured output, and controllable reasoning strength.

At a glance

FieldValue
Model idmuse-glimmer-30b
Model release date2026-08-10
Input modalitiesText, Image
Output modalitiesText
Context window128K
Weight precisionNVFP4 weights + FP8 KV
Max output tokens32,768
Featuresreasoning, vision, multimodal, function_calling, json_mode, cache
Native inferenceYes
NewYes
Structured outputJSON Schema
Supported endpointsPOST /v1/chat/completions, POST /v1/responses, POST /v1/messages, POST /v1/completions, POST /v1beta/models/muse-glimmer-30b:generateContent
Alternate model idsmeta/muse-glimmer-30b, muse-glimmer, meta-models/muse-glimmer-30b

Pricing

ChargeSpecRate
Inputper 1M prompt tokens$0.20 (was $0.35)
Outputper 1M generated tokens$0.80 (was $1.50)
Implicit cache readper 1M cached input tokens$0.05
Web Search (Linkup)per call when invoked$0.013

Example request

$curl https://api.empiriolabs.ai/v1/chat/completions \
>  -H 'Authorization: Bearer $EMPIRIOLABS_API_KEY' \
>  -H 'Content-Type: application/json' \
>  -d '{"model": "muse-glimmer-30b", "messages": [{"role":"user","content":"Hello"}]}'

Parameters

ParameterTypeRequiredDefaultDescription
temperaturenumberno1.0Sampling temperature. 0 is deterministic and 2 is maximum randomness. · Range: 0 – 2
top_pnumberno0.95Nucleus sampling probability mass. Lower values make outputs more focused. · Range: 0 – 1
max_tokensnumberno4096Maximum output tokens. · Range: 1 – 32768
stopstringno-Up to 4 strings where the model will stop generating further tokens.
reasoning_effortenumno"high"Reasoning strength level. Higher levels think longer before answering. none requests minimal thinking and max maps to the model’s xhigh strength. · Allowed: none, low, medium, high, max
top_knumberno64Limit sampling to the top K candidate tokens when supported. · Range: 1 – 200
min_pnumberno0Minimum probability threshold for token sampling. · Range: 0 – 1
frequency_penaltynumberno0Penalty based on how often a token has already appeared. · Range: -2 – 2
presence_penaltynumberno0Penalty for tokens that already appeared in the generated text. · Range: -2 – 2
response_formatenumno-Constrain the output to valid JSON. Use JSON mode for any JSON object, or supply a JSON Schema to force an exact response shape. · Allowed: text, json_object, json_schema
web_search_linkupbooleannofalseOptional web search powered by Linkup. When enabled, recent web sources are retrieved using your latest user message as the query and provided to the model as additional context. Adds $0.013 per call when invoked on top of the model’s normal token cost. Disabled by default.
disable_formattingbooleannofalseWhen enabled, the gateway will not append the “Sources” footer to assistant responses that used Linkup web search. Useful when the model output is piped to another system that expects no decoration.

Notes

Supports text and image input, streaming, function tools, structured JSON output, and reasoning strength control through reasoning_effort (none, low, medium, high, max). Reasoning defaults to high.

Machine-readable schema: GET https://api.empiriolabs.ai/v1/models/muse-glimmer-30b.